Online Access Free NS0-901 Exam Questions

An internal audit requires the firm to prove the exact state of the financial product documentation that was used by the chatbot to answer a specific query from last Tuesday. The query log shows the request was processed at '2025-07-11T14:30:00Z'. The data pipeline that updates the vector database runs daily at midnight.
Which NetApp technology allows the team to instantly access an immutable, point-in-time version of the vector database volume as it existed on that specific day?

• A.NetApp FlexClone
• B.NetApp SnapMirror
• C.NetApp Snapshots
• D.NetApp FabricPool

The Chief Information Security Officer (CISO) is concerned about the risk of a ransomware attack encrypting the critical vector database hosted on the NetApp AFF A-Series. The CISO wants a solution that can proactively detect and block a live attack in real-time, not just recover from a backup after the fact.
Which NetApp security feature should the architect enable on the vector database volume to meet this requirement?

• A.Autonomous Ransomware Protection (ARP)
• B.NetApp Volume Encryption (NVE)
• C.NetApp SnapLock (Compliance Mode)
• D.Multi-Admin Verification (MAV)

The HPC cluster generates simulation data at an extremely high rate, requiring a storage system that can handle massively parallel writes from hundreds of compute nodes simultaneously. Which storage system and file protocol combination is the most appropriate choice for the HPC cluster's high-performance scratch space?

• A.A NetApp StorageGRID system accessed via the S3 protocol.
• B.A NetApp E-Series system serving a BeeGFS parallel file system.
• C.A NetApp ASA system serving a single, large NFS volume.
• D.A Cloud Volumes ONTAP instance with a standard file system.

An enterprise is planning a generative AI solution to power its internal support chatbot. The architect must choose between a RAG-based approach and fine-tuning a base model. The project stakeholders have provided a list of prioritized requirements.
| Requirement | Priority | Details
|
| | -- | |
| Factual Accuracy | Critical | Must use the latest product documentation, updated daily.
| | Brand Voice & Persona | High | Must respond in the company's specific, formal tone.
| | Development Cost | High | Limited budget for GPU compute hours for model training.
|
| Data Traceability | Critical | Must be able to cite the exact source document for each answer.
|
Which two recommendations should the architect make to best satisfy these requirements?
(Choose 2.)

• A.Prioritize fine-tuning to embed the company's brand voice and persona into the model.
• B.Prioritize a RAG architecture to meet the critical requirements for factual accuracy and data traceability.
• C.Use RAG exclusively, as prompt engineering alone can fully replicate a specific brand voice and persona.
• D.Propose a hybrid approach where a base model is first lightly fine-tuned for persona, then used within a RAG system for factual grounding.
• E.Recommend training a new LLM from scratch to ensure both brand voice and factual accuracy are built-in.

A robotics company is developing a control system for an autonomous warehouse drone. The drone must learn to navigate complex environments to pick up packages. The development team has created a physics-based simulation where the drone can attempt the task millions of times.
The drone receives a positive reward for successfully retrieving a package and a negative penalty for collisions. Which type of machine learning algorithm is being used in this scenario?

• A.Reinforcement learning
• B.Generative learning
• C.Unsupervised learning
• D.Supervised learning